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just olya [345]
3 years ago
7

A basket is filled with cards, one for each letter of the alphabet and one for each digit 0-9. One card is chosen. ​

Mathematics
1 answer:
Margaret [11]3 years ago
3 0

The basket filled with cards is an illustration of probability

The probability of selecting any card from the basket is 1/36

<h3>How to determine the probability</h3>

The number of letters is:

Letters = 26

The number of digits is:

Digits = 10

This means that the total number of cards is:

n = 36 (i.e. 26 + 10)

So, the probability of selecting a card is:

Pr = \frac 1{36}

Hence, the probability of selecting any card from the basket is 1/36

Read more about probability at:

brainly.com/question/25870256

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4 0
3 years ago
PLSSSSSSS HELP will crown brainliest!!!!!!!
deff fn [24]
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3 0
3 years ago
Assume that X is a binomial random variable with n = 27 and p = 0.90. Calculate the following probabilities. (Do not round inter
Yuki888 [10]

Answer:

a) P(X=26) = 27C26 (0.9)^{26} (1-0.9)^{27-26}= 0.1744

b) P(X=25) = 27C25 (0.9)^{25} (1-0.9)^{27-25}= 0.2520

c) P(X=25) = 27C25 (0.9)^{25} (1-0.9)^{27-25}= 0.2520

P(X=26) = 27C26 (0.9)^{26} (1-0.9)^{27-26}= 0.1744

P(X=27) = 27C27 (0.9)^{27} (1-0.9)^{27-27}= 0.0582

And addind the values we got:

P(X\geq 25)= P(X=25)+P(X=26)+P(X=27)=0.2520+0.1744+0.0582=0.4846

Step-by-step explanation:

Previous concepts  

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Solution to the problem  

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=27, p=0.9)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

Part a

We want this probability:

P(X=26)

And we can use the probability mass function and we got:

P(X=26) = 27C26 (0.9)^{26} (1-0.9)^{27-26}= 0.1744

Part b

We want this probability:

P(X=25)

And we can use the probability mass function and we got:

P(X=25) = 27C25 (0.9)^{25} (1-0.9)^{27-25}= 0.2520

Part c

We want this probability:

P(X\geq 25)= P(X=25)+P(X=26)+P(X=27)

And we can use the probability mass function and we got:

P(X=25) = 27C25 (0.9)^{25} (1-0.9)^{27-25}= 0.2520

P(X=26) = 27C26 (0.9)^{26} (1-0.9)^{27-26}= 0.1744

P(X=27) = 27C27 (0.9)^{27} (1-0.9)^{27-27}= 0.0582

And addind the values we got:

P(X\geq 25)= P(X=25)+P(X=26)+P(X=27)=0.2520+0.1744+0.0582=0.4846

3 0
3 years ago
So this is wrong ? How do i fix it
Inga [223]

I think the 57 is an whole number.

5 0
4 years ago
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